use crate::dataframe::values::{Column, NuDataFrame};
use nu_engine::command_prelude::*;
use polars::prelude::{IntoSeries, StringNameSpaceImpl};
#[derive(Clone)]
pub struct StrLengths;
impl Command for StrLengths {
fn name(&self) -> &str {
"dfr str-lengths"
}
fn usage(&self) -> &str {
"Get lengths of all strings."
}
fn signature(&self) -> Signature {
Signature::build(self.name())
.input_output_type(
Type::Custom("dataframe".into()),
Type::Custom("dataframe".into()),
)
.category(Category::Custom("dataframe".into()))
}
fn examples(&self) -> Vec<Example> {
vec![Example {
description: "Returns string lengths",
example: "[a ab abc] | dfr into-df | dfr str-lengths",
result: Some(
NuDataFrame::try_from_columns(
vec![Column::new(
"0".to_string(),
vec![Value::test_int(1), Value::test_int(2), Value::test_int(3)],
)],
None,
)
.expect("simple df for test should not fail")
.into_value(Span::test_data()),
),
}]
}
fn run(
&self,
engine_state: &EngineState,
stack: &mut Stack,
call: &Call,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
command(engine_state, stack, call, input)
}
}
fn command(
_engine_state: &EngineState,
_stack: &mut Stack,
call: &Call,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
let df = NuDataFrame::try_from_pipeline(input, call.head)?;
let series = df.as_series(call.head)?;
let chunked = series.str().map_err(|e| ShellError::GenericError {
error: "Error casting to string".into(),
msg: e.to_string(),
span: Some(call.head),
help: Some("The str-lengths command can only be used with string columns".into()),
inner: vec![],
})?;
let res = chunked.as_ref().str_len_bytes().into_series();
NuDataFrame::try_from_series(vec![res], call.head)
.map(|df| PipelineData::Value(NuDataFrame::into_value(df, call.head), None))
}
#[cfg(test)]
mod test {
use super::super::super::super::test_dataframe::test_dataframe;
use super::*;
#[test]
fn test_examples() {
test_dataframe(vec![Box::new(StrLengths {})])
}
}